# -*- coding: UTF-8 -*-
"""
@author:Administrator
@file:match_one_series_has_lable.py
@time:2022/01/19
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from dtw import dtw

data = pd.read_csv('data/prof101_851.csv', sep=',')

if __name__ == '__main__':
    f, ax = plt.subplots(2, 1)
    #
    ax[0].plot(data['X'][:376])
    ax[0].set_title("101")
    ax[1].plot(data['851'][125:])
    ax[1].set_title("851")
    # ax[1].annotate('',
    #                xy=(-1, 10), xycoords=ax[0].transData,
    #                xytext=(30, 420), textcoords=ax[1].transData,
    #                ha="center", va="center",
    #                # bbox={'facecolor': '#74C476', "boxstyle": "round"},
    #                arrowprops=dict(facecolor='#74C476', alpha=0.6, arrowstyle='-|>', linewidth=2, color='r'),
    #                )
    # dist, _, _, path = dtw(data['X'][:376], data['851'][125:].reset_index(drop=True), dist=lambda x, y: abs(x-y))
    X = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29,
         29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56,
         57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,
         85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109,
         110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131,
         132, 133, 134, 135, 136, 136, 136, 136, 136, 136, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147,
         148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169,
         170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191,
         192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213,
         214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235,
         236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257,
         258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279,
         280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301,
         302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323,
         324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345,
         346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367,
         368, 369, 370, 371, 372, 373, 374, 375]
    pridic = [  0,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,
        12,  13,  14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,
        25,  26,  27,  28,  29,  30,  31,  32,  33,  34,  35,  36,  37,
        38,  39,  40,  41,  42,  43,  44,  45,  46,  47,  48,  49,  50,
        51,  52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,
        64,  65,  66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,
        77,  78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89,
        90,  91,  92,  93,  94,  95,  96,  97,  98,  99, 100, 101, 102,
       103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115,
       116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128,
       129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141,
       142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154,
       155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167,
       168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180,
       181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193,
       194, 195, 196, 196, 197, 198, 198, 198, 198, 198, 198, 199, 200,
       201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213,
       214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226,
       227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239,
       240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252,
       253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265,
       266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278,
       279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291,
       292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304,
       305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317,
       318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330,
       331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343,
       344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356,
       357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369,
       370, 371, 372, 373, 374, 375]

    # plt.show()
    # # path
    # plt.plot(X, pridic, '-o')
    # plt.show()
    x_label = data["label"][:376]
    y_label = pd.Series(index=data["851"][125:].index)
    start = data["851"][125:].index[0]
    # 标记对应的点
    for index, x in enumerate(X):
        # 找的索引
        if x_label[x]:
            y_label[start+pridic[index]] = 1
        else:
            y_label[start + pridic[index]] = 0

    ax[0].plot(x_label)
    ax[1].plot(y_label)
    plt.show()

